引用本文:高金敏,乐美龙,曲林迟.机票定价与舱位控制两阶段决策方法[J].控制与决策,2019,34(6):1293-1299
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机票定价与舱位控制两阶段决策方法
高金敏1,2, 乐美龙3, 曲林迟2
(1. 上海工程技术大学管理学院,上海201620;2. 上海海事大学经济管理学院,上海201306;3. 南京航空航天大学民航学院,南京211106)
摘要:
针对航空收益管理中定价与舱位控制联合决策问题,提出一种两阶段决策方法.以最大化总收益为目标,建立和分析相应的联合决策模型,包括非嵌套模型(确定性模型和随机模型)和嵌套模型.通过对模型的求解和仿真得到:在价格方面,随机模型定价最高,其次是嵌套模型,确定性模型定价最低;在对低票价等级的订座限制方面,随机模型限制最严,其次是确定性模型,嵌套模型限制最宽松;最终总收益方面,嵌套模型的总收益最高,而随机模型与确定性模型总收益的高低视情况而定.为应对求解大规模嵌套模型算例时的复杂性,分别将非嵌套模型计算所得的定价结果作为嵌套模型的输入价格,求得对应的座位分配结果.对所得到的两阶段策略进行仿真得到,随机模型与嵌套模型相结合所得到的两阶段策略表现更好,能够使总收益接近最优水平.
关键词:  机票定价  舱位控制  联合决策  非嵌套模型  嵌套模型  两阶段策略
DOI:10.13195/j.kzyjc.2017.1474
分类号:U8
基金项目:江苏省自然科学基金项目(BK20151479);上海海事大学博士研究生创新基金项目(2016ycx061);中央高校基本科研业务费专项资金项目(NZ2016109).
Two-stage decision approach of air pricing and seat inventory control
GAO Jin-min1,2,LE Mei-long3,QU Lin-chi2
(1. School of Management,Shanghai University of Engineering Science,Shanghai201620,China;2. School of Economics & Management,Shanghai Maritime University,Shanghai201306,China;3. College of Civil Aviation,Nanjing University of Aeronautics & Astronautics,Nanjing211106,China)
Abstract:
For the joint decision making problem of pricing and seat inventory control in airline revenue management, a two-stage decision approach is proposed. Firstly, corresponding joint models are established and analyzed with the good of maximizing the total revenue, including non-nested models(the deterministic model and the stochastic model) and nested models. Some conclusions are obtained through solving and simulating the models. For ticket pricing, the price from the stochastic model is the highest. The second highest is that from the nested model. The price from the deterministic model is the lowest. For the booking limit of low fare classes, the stochastic model is the strictest. The second strictest is deterministic model. The nested model is the loosest among them. The finally simulation results show that, the nested model produces the highest total revenue, and for non- nested models, the deterministic model does not always outperform the stochastic model. In order to response to the complexity of solving the large-scale example of the nested model, we regard the price from the non-nested model as the input price of the nested model respectively and obtain corresponding seat allocation results. Also, two groups of two-stage strategies of pricing and seat inventory control are produced, which are verified by example simulation. The results show that, the two-stage strategy from the combination of the stochastic model and the nested model performs better, and it can generate total revenue closer to the optimal level.
Key words:  pricing of air ticket  seat inventory control  joint decision making  non-nested model  nested model  two-stage strategy

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